Growth Engineer - AI-Driven Onboarding & Retention

Circle Labs; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Competitive pay and equity

Health, dental, and vision coverage

Access to frontier AI Engines

Job summary

Circle Labs in San Francisco is seeking a growth-focused product engineer to help people discover shapes.inc, invite friends, and stay engaged with our social, multiplayer product across iOS, Android, and web.

You will own acquisition, onboarding, activation, referrals, lifecycle, and retention, designing and measuring experiments, building flows, and advancing analytics and AI-driven onboarding. You’ll work across design, engineering, and research to ship impact quickly.

Qualifications

• Three+ years shipping consumer software.
• Confidence working across the stack and SQL to investigate metrics.
• Examples of growth experiments you shipped, including hypothesis, implementation, results, and next steps.
• Comfort with ambiguity, ownership, and rapid iteration.
• Curiosity, willingness to learn, and a collaborative, low-ego approach.

Responsibilities

• Design, ship, and measure growth experiments across the stack.
• Measure activation and retention from invitations and the first shared conversation to reasons they return.
• Build and test invitation, joining, and catch-up flows for groups to reach first useful shared result.
• Develop attribution, event tracking, experimentation, and internal dashboards.
• Use AI for personalized onboarding, landing pages, lifecycle messages, and paid creative.

Skills

Growth experiments

SQL analytics

Consumer software

Cross-stack collaboration

Ownership & initiative

Experimentation mindset

Job description

Circle Labs in San Francisco is seeking a growth-focused product engineer to help people discover shapes.inc, invite friends, and stay engaged with our social, multiplayer product across iOS, Android, and web.

You will own acquisition, onboarding, activation, referrals, lifecycle, and retention, designing and measuring experiments, building flows, and advancing analytics and AI-driven onboarding. You’ll work across design, engineering, and research to ship impact quickly.